Testing of observation operators designed to estimate profile soil moisture from surface measurements
文献类型：期刊论文
| 作者 | Gao, Xiaodong1,2,3; Zhao, Xining1,2,3; Brocca, Luca4; Pan, Daili1,3; Wu, Pute1,2,3 |
| 刊名 | HYDROLOGICAL PROCESSES
 |
| 出版日期 | 2019-02-15 |
| 卷号 | 33期号:4页码:575-584 |
| 关键词 | CDF matching depth scaling exponential filter soil water |
| ISSN号 | 0885-6087 |
| DOI | 10.1002/hyp.13344 |
| 通讯作者 | Zhao, Xining(zxn@nwafu.eud.cn) |
| 英文摘要 | The accurate estimation of profile soil moisture is usually difficult due to the associated costs, strong spatiotemporal variability, and nonlinear relationship between surface and profile moisture. Here, we used data sets from the Soil and Climate Analysis Network to test how reliably observation operators developed based on the cumulative distribution function matching method can predict profile soil moisture from surface measurements. We first analysed how temporal resolution (hourly, daily, and weekly) and data length (half year, 1year, 2years, and 4years) affected the performance of observation operators. The results showed that temporal resolution had a negligible influence on the performance of observation operators. However, a leave-one-year-out cross-validation showed that data length affected the performance of observation operators; a 2-year interval was identified as the most suitable duration due to its low uncertainty in prediction accuracy. The robustness of the observation operators was then tested in three primary climates (humid continental, humid subtropical, and semiarid) of the continental United States, with the exponential filter employed as an independent method. The results indicated that observation operators reliably predicted profile soil moisture for most of the tested stations and performed almost equally well as the exponential filter method. The presented results verified the feasibility of using the cumulative distribution function matching method to predict profile soil moisture from surface measurements. |
| WOS关键词 | ROOT-ZONE ; ERS SCATTEROMETER ; WATER STORAGE ; NEAR-SURFACE ; ASSIMILATION ; VALIDATION ; DYNAMICS ; AVERAGES ; NETWORK ; POINT |
| 资助项目 | National Key Research and Development Program[2017YFC0403600] ; National Natural Science Foundation of China[41571506] ; National Natural Science Foundation of China[41771316] ; National Natural Science Foundation of China[51579212] ; Integrative Science-Technology Innovation Engineering Project of Shaanxi[2016KTZDNY-01-03] ; Young-Talent Nurturing program of the Northwest AF University |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000458700900009 |
| 出版者 | WILEY |
| 资助机构 | National Key Research and Development Program ; National Natural Science Foundation of China ; Integrative Science-Technology Innovation Engineering Project of Shaanxi ; Young-Talent Nurturing program of the Northwest AF University |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/49453]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhao, Xining |
| 作者单位 | 1.Northwest Agr & Forestry Univ, Inst Soil & Water Conservat, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China 2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling, Shaanxi, Peoples R China 3.Northwest A&F Univ, Natl Engn Res Ctr Water Saving Irrigat Yangling, Yangling, Shaanxi, Peoples R China 4.CNR, Res Inst Geohydrol Protect, Perugia, Italy |
| 推荐引用方式 GB/T 7714 | Gao, Xiaodong,Zhao, Xining,Brocca, Luca,et al. Testing of observation operators designed to estimate profile soil moisture from surface measurements[J]. HYDROLOGICAL PROCESSES,2019,33(4):575-584. |
| APA | Gao, Xiaodong,Zhao, Xining,Brocca, Luca,Pan, Daili,&Wu, Pute.(2019).Testing of observation operators designed to estimate profile soil moisture from surface measurements.HYDROLOGICAL PROCESSES,33(4),575-584. |
| MLA | Gao, Xiaodong,et al."Testing of observation operators designed to estimate profile soil moisture from surface measurements".HYDROLOGICAL PROCESSES 33.4(2019):575-584. |
入库方式： OAI收割
来源：地理科学与资源研究所
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